Catalog exploration ranks

StructureMoa is a chemical-structure exploration tool. Structural similarity, clustering, and SAR relationships are intended for research exploration and do not establish shared potency, selectivity, safety, efficacy, or clinical performance.

Derivative structure exploration tiers

Rule-based Catalog Exploration Score from SMILES similarity, approved/clinical tags, family network size, and SAR metadata. It does not predict efficacy, safety, or development success.

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Core 후보 59파생 후보 24041 패밀리

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Exploration score method

StructureMoa ranks are a rule-based Exploration Score. An LLM does not predict activity or efficacy. Role, SMILES, and relation signals inside each family are summed and cut into High / Medium / Low exploration priority.

Core tab

scaffold / payload / linker role weights
family center-compound bonus
SMILES source (db · known · pubchem · inherited)
relation-edge count and derived-child count

Derivative tab

drug / derivative / adc candidates
similarity to family center via Morgan fingerprint, radius 2, 2048 bits, Tanimoto
approved / clinical catalog-tag bonuses
ADC / payload tags

Explore tab

sparse SAR, cross-scaffold pairs, expansion leaves
weakly linked nodes and approved-tag neighborhood gaps
relation graph + stored Morgan fingerprints
category filters

Exploration-priority bins

High (X-S): top ~12%
Medium (X-A/X-B): ~12–62%
Low (X-C): remainder (pools under 5 compounds stay Medium)

Internal exploration metric based on catalog and structural signals. Not a prediction of efficacy, safety, potency, or development success.

Full methodology

평가 시각: 2026. 9. 11. 오전 4:40:33 · 캐시 5분 · 전체 패밀리